Skip to content

A pre-trained MobileNet model for detecting cracks on concrete structures

License

Notifications You must be signed in to change notification settings

TheSudoCoders/Granite

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Open Source Love License: MIT

Granite

Granite is a lightweight, pre-trained MobileNet model for detected cracks on concrete walls, slabs, pavements and other stuctures made of concrete. This pre-trained model was created using transfer learning and has a validation accuracy of 99.95 %. The model was trained on the Concrete Crack Images for Classification from Medeley.

Scripts written and trained by Nikhil Raghavendra (@nikhilraghava).

Pre-requisites

  • This repository
  • Python 3.6.5
  • TensorFlow 1.9.0
  • NumPy 1.14.2

Usage

Clone or download this repository and execute the following command in the terminal with this repository being the current working directory.

python classify.py [path to imagerelative to the script]

Tested Operating Systems

  • macOS 10.13.6
  • macOS 10.14

License

Licensed under MIT License.

About

A pre-trained MobileNet model for detecting cracks on concrete structures

Topics

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages